The integration of automatic data gathering through Industrial Internet of Things (IIoT) devices offers tremendous benefits by providing real-time access to machine data from different zones of the factory on a unified dashboard.
These dashboards offer a comprehensive overview of machine performance, production metrics, and key indicators in a unified interface. Operators, supervisors, and managers can monitor the status of machines, track production volumes, and identify any anomalies or performance deviations in real-time.
IIoT devices capture signals and data from machines, sensors, and PLCs in real-time. By leveraging AI algorithms and analytics, manufacturers can set up anomaly detection systems that generate alerts when deviations from normal operating conditions occur.
These alerts enable operators to take immediate corrective actions, preventing potential issues, minimizing downtime, and ensuring uninterrupted production.
The tire manufacturing process involves diverse machines and equipment, each with its own unique signals and data formats. Automatic data gathering systems using IIoT devices can be configured to capture data from a wide range of machine types, allowing for standardized data collection and analysis, regardless of the equipment used.
